Accusaga Information Technologies Pvt. Ltd.

Location: Hyderabad Experience Required: 2 Positions: 7+ Years & 3 Positions: 4-6 Years Job Overview: We are looking for experienced and passionate Gen AI Engineers to join our growing team. The ideal candidate will have strong experience in Python, Fast API, and AWS , with hands-on exposure to Generative AI technologies . Experience with Java is a plus. You will be responsible for designing, developing, and deploying Gen AI-driven solutions, working closely with cross-functional teams in a fast-paced, innovation-focused environment. Key Responsibilities: Design, develop, and deploy scalable applications using Python and FastAPI Build and manage APIs for GenAI-based services. Integrate solutions with AWS cloud infrastructure (Lambda, S3, EC2, Sage Maker , etc.) Collaborate with product and research teams to explore and prototype GenAI capabilities. Write clean, maintainable, and well-documented code. Required Skills & Qualifications: Strong programming skills in Python. Experience building APIs using FastAPI (or similar frameworks) Hands-on experience with AWS cloud services. Practical knowledge or project exposure in Generative AI / Large Language Models. Familiarity with prompt engineering, fine-tuning, and model deployment. Understanding of MLOps practices and model lifecycle. Preferred: Experience in Java for backend service integration. Familiarity with Docker, Kubernetes, or other container orchestration tools. Knowledge of data engineering or data pipelines.

We are seeking Data Analysts / Data Engineers with experience in U.S. pharmaceutical commercial data . Key Responsibilities: Ingest and onboard third-party data sources with appropriate quality and compliance measures and reporting Design and implement QC protocols for data integrity and completeness. Track data lineage and maintain proper documentation of data flow and transformations. Apply statistical or algorithmic techniques to identify anomalies in data related to sales, claims, or patient-level records. Provide detailed reports and insights for stakeholders to support commercial decision- making. Required Skills & Qualifications: 2+ years of experience in data analytics / engineering with at least one year with US Pharmaceutical Data Hands-on experience with third-party commercial healthcare data sources ( IQVIA, Symphony, Komodo, Definitive etc.). Experience working with ETL pipelines, data ingestion, and metadata . Proficient in SQL, or Python Understanding of o utlier detection techniques using statistical and ML-based approaches.

Location: Hyderabad Experience Required: 5+ years Job Overview: We are seeking skilled and experienced Java Engineers to join our team in building scalable, high-performance applications. The ideal candidates will have strong expertise in Core Java (preferably Java 17 or 21 ), Spring Boot, and microservices architecture, with hands-on experience working on cloud platforms (AWS preferred). Experience with search technologies such as Elasticsearch, SOLR, OpenSearch, or Vespa is a strong advantage. Key Responsibilities: Design, develop, and maintain backend applications using Core Java (17/21) and Spring Boot. Develop and deploy scalable microservices in a cloud-native architecture. Integrate search capabilities using Elasticsearch, SOLR, OpenSearch, or Vespa . Collaborate with DevOps and Cloud teams to deploy solutions on AWS. Participate in code reviews, design discussions, and architecture decisions. Ensure code quality, performance, and reliability through best practices and testing. Troubleshoot and resolve issues across development, testing, and production environments. Required Skills & Qualifications: Strong programming experience with Core Java (preferably 17 or 21). Proficient in Spring Boot and microservices architecture. Experience working on cloud platforms AWS preferred (EC2, Lambda, S3, etc.) Hands-on with any search platform: Elasticsearch, SOLR, OpenSearch, or Vespa. Good understanding of RESTful API design and integration. Familiarity with CI/CD tools and version control (Git). Strong debugging, problem-solving, and performance tuning skills. Excellent communication and collaboration abilities. Preferred: Knowledge of containerization (Docker, Kubernetes). Experience with monitoring and logging tools.

We are seeking a Senior Data Scientist with deep expertise in Machine Learning, Generative AI (Gen AI), Large Language Models (LLMs), and experimental design to join our growing AI team. This role is ideal for someone passionate about evaluating cutting-edge ML/Gen AI systems, designing robust A/B tests, and translating data into actionable insights that drive product and business strategy. Job Title: Senior Data Scientist Machine Learning & Gen AI Evaluation Location: Hyderabad | Experience Level: 5+ Years Employment Type: Full-Time Responsibilities: Design and implement evaluation pipelines for LLMs and other Gen AI systems, including human and automated benchmarking. Lead the design, execution, and analysis of A/B tests and other controlled experiments to evaluate product and ML feature performance. Develop, validate, and optimize ML models across various domains (e.g., NLP, recommendation, personalization). Analyze system behavior using statistical methods to improve accuracy, fairness, robustness, and user experience. Work cross-functionally with Product, Engineering, and Research to embed data-driven insights into the development cycle. Build tools and dashboards to monitor model performance and key business metrics over time. Required Qualifications: 5+ years of hands-on experience in Data Science or Applied Machine Learning roles. Proven experience working with LLMs and Generative AI technologies (e.g., OpenAI, Hugging Face, fine-tuning, prompt engineering). Strong background in experimental design, A/B testing, and causal inference. Proficient in Python and common data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). Experience with cloud platforms (AWS, GCP, or Azure) and data infrastructure (e.g., SQL, Spark). Strong communication skills with the ability to present complex findings to technical and non-technical stakeholders. Preferred Qualifications: Advanced degree (Graduation/Post-Graduation) in Computer Science, Statistics, Machine Learning, or a related field. Experience working on GenAI evaluation at scale, including RLHF or other human feedback techniques. Familiarity with privacy, fairness, and ethical considerations in ML/GenAI systems.

We are seeking a highly skilled Java Engineer with over 5 years of hands-on experience in building scalable and high-performance applications. The ideal candidate will have strong expertise in Core Java (preferably Java 18/21), Big Data technologies (especially Apache Spark), and cloud platforms (preferably AWS). Experience with Spring Boot and Microservices architecture is essential for this role. Location: Hyderabad Employment Type: Full-Time Experience Level: Mid-Senior Level (5+ Years) Key Responsibilities: Design, develop, and maintain robust Java-based applications . Build and optimize distributed systems and microservices using Spring Boot . Develop Big Data pipelines and workflows using Apache Spark . Collaborate with DevOps teams to deploy and manage applications on AWS. Troubleshoot and resolve complex technical issues across services and platforms. Participate in code reviews, design discussions, and team agile ceremonies. Continuously evaluate and implement emerging technologies to improve system efficiency. Required Skills and Qualifications: 5+ years of experience in backend development using Core Java (preferably versions 18/21). Strong experience with Spring Boot and Microservices architecture. Hands-on experience with Apache Spark and other Big Data tools. Solid understanding of cloud platforms, preferably AWS (e.g., EC2, S3, Lambda, etc.). Proficient in designing RESTful APIs and integrating external services. Good understanding of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes is a plus). Strong problem-solving and communication skills. Preferred Qualifications: AWS certifications (AWS Certified Developer, AWS Solutions Architect). Experience with containerized environments and orchestration tools. Familiarity with Agile/Scrum methodologies.